Model Predictive Control of DFIG-Based Wind Turbine

Ehsan Gatavi, Amir Shirdel

    Research output: Chapter in Book/Conference proceedingConference contributionScientificpeer-review

    4 Citations (Scopus)


    This paper presents a centralized multivariable control strategy for the control of the DFIG wind turbine. Model of one-mass wind turbine with DFIG is represented by a third-order model. Model predictive control is applied in order to compensate inaccuracies and measurement noise. The optimization problem is recast as a Quadratic Program (QP) which is highly robust and efficient. In order to bring the problematic voltages as closely as possible to the desired values, multi-step optimization is introduced. The effectiveness of the proposed algorithm is demonstrated for a variable speed wind turbine.
    Original languageUndefined/Unknown
    Title of host publicationASME 2014 Dynamic Systems and Control Conference
    EditorsDynamic Systems, Control Division
    PublisherAmerican Society of Mechanical Engineers, ASME
    ISBN (Print)978-0-7918-4620-9
    Publication statusPublished - 2014
    MoE publication typeA4 Article in a conference publication
    Eventconference; 2014-10-22; 2014-10-24 - San Antonio, Texas, USA
    Duration: 22 Oct 201424 Oct 2014


    Conferenceconference; 2014-10-22; 2014-10-24


    • DFIG-Based Wind Turbine
    • Model predictive control
    • Multistep optimization

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